标签：TensorRT

NVIDIA DeepStream Monorepo: DeepStream SDK and reference apps for building GPU‑accelerated, real-time video and multi‑sensor analytics pipelines with GStreamer, TensorRT, and vision AI models across edge, on‑prem, and cloud deployments.

NVIDIA AITune is an inference toolkit designed for tuning and deploying Deep Learning models with a focus on NVIDIA GPUs.

GUI for upscaling and interpolating videos with ONNX models on Windows and Linux, using TensorRT, TensorRT-RTX or DirectML

Easy and fast 2d human and animal multi pose estimation using SOTA ViTPose [Y. Xu et al., 2022] Real-time performances and multiple skeletons supported.

2-4x faster ComfyUI Image Upscaling using Tensorrt ⚡

An object tracking project with YOLOv8 and ByteTrack, speed up by C++ and TensorRT.

🚀 Multi-Stream, Multi-Model, Multi-GPU Video Processing in Python with CUDA

High-performance C++/CUDA SDK for running Audio2Emotion and Audio2Face inference with integrated post-processing.

Real-time object detection, keypoint estimation, instance and semantic segmentation. Train, export (TensorRT, ONNX, OpenVINO, CoreML), deploy. Apache-2.0

High-performance Ultralytics YOLO inference in Rust with ONNX Runtime, GPU backends, CLI, and WebGPU/WASM.

Open-source AI camera and microphone effects for Linux and macOS: background effects, auto framing, noise removal, recording, and local meeting transcription.

Production-ready C++/TensorRT inference engine for RF-DETR. Object detection and instance segmentation with FP32/FP16/INT8 support. Optimized for NVIDIA GPUs, Jetson (Orin, AGX Thor).

NVIDIA-accelerated, deep learned model support for image space object detection